Search Results - "Papa, Joao Papa"

An Overview on Concept Drift Learning by Iwashita, Adriana Sayuri, Papa, Joao Paulo

“…Concept drift techniques aim at learning patterns from data streams that may change over time. Although such behavior is not usually expected in controlled…”
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FEMa: a finite element machine for fast learning by Pereira, Danilo R., Piteri, Marco Antonio, Souza, André N., Papa, João Paulo, Adeli, Hojjat

“…Machine learning has played an essential role in the past decades and has been in lockstep with the main advances in computer technology. Given the massive…”
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A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines by Passos, Leandro Aparecido, Papa, João Paulo

“…Deep learning techniques, such as Deep Boltzmann Machines (DBMs), have received considerable attention over the past years due to the outstanding results…”
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Computational methods for the image segmentation of pigmented skin lesions: a review by Oliveira, Roberta B, Filho, Mercedes E, Ma, Zhen, Papa, João P, Pereira, Aledir S, Tavares, João Manuel R.S

“…Research Highlights • The clinical requirement for the early diagnosis of malignant skin lesions from images is introduced and justified; • An up-to-date…”
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Deep learning techniques for recommender systems based on collaborative filtering by Martins, Guilherme Brandão, Papa, João Paulo, Adeli, Hojjat

“…In the Big Data Era, recommender systems perform a fundamental role in data management and information filtering. In this context, Collaborative Filtering (CF)…”
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Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement by Passos, Leandro A., Papa, João Paulo, Del Ser, Javier, Hussain, Amir, Adeel, Ahsan

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Fine-tuning Deep Belief Networks using Harmony Search by Papa, João Paulo, Scheirer, Walter, Cox, David Daniel

“…[Display omitted] In this paper, we deal with the problem of Deep Belief Networks (DBNs) parameters fine-tuning by means of a fast meta-heuristic approach…”
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A stomata classification and detection system in microscope images of maize cultivars by Aono, Alexandre H, Nagai, James S, Dickel, Gabriella da S M, Marinho, Rafaela C, de Oliveira, Paulo E A M, Papa, João P, Faria, Fabio A

“…Plant stomata are essential structures (pores) that control the exchange of gases between plant leaves and the atmosphere, and also they influence plant…”
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A fuzzy distance-based ensemble of deep models for cervical cancer detection by Pramanik, Rishav, Biswas, Momojit, Sen, Shibaprasad, Souza Júnior, Luis Antonio de, Papa, João Paulo, Sarkar, Ram

“…•We design an ensemble of CNN models to detect cervical cancer from PaP Smear Images. Three transfer learning models and additional layers are used to learn…”
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A multi-objective artificial butterfly optimization approach for feature selection by Rodrigues, Douglas, de Albuquerque, Victor Hugo C., Papa, João Paulo

“…Feature selection plays an essential role in machine learning since high dimensional real-world datasets are becoming more popular nowadays. The very basic…”
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A comprehensive study among distance measures on supervised optimum-path forest classification by de Rosa, Gustavo H., Roder, Mateus, Passos, Leandro A., Papa, João Paulo

“…Supervised pattern classification relies on a labeled training set to learn decision boundaries that separate samples from different classes. Such samples can…”
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Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids by Passos, Leandro A., Papa, João Paulo, Hussain, Amir, Adeel, Ahsan

“…Despite the recent success of machine learning algorithms, most models face drawbacks when considering more complex tasks requiring interaction between…”
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Exudate detection in fundus images using deeply-learnable features by Khojasteh, Parham, Passos Júnior, Leandro Aparecido, Carvalho, Tiago, Rezende, Edmar, Aliahmad, Behzad, Papa, João Paulo, Kumar, Dinesh Kant

“…Presence of exudates on a retina is an early sign of diabetic retinopathy, and automatic detection of these can improve the diagnosis of the disease…”
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Automatic classification of plant electrophysiological responses to environmental stimuli using machine learning and interval arithmetic by Pereira, Danillo Roberto, Papa, João Paulo, Saraiva, Gustavo Francisco Rosalin, Souza, Gustavo Maia

“…•To develop new datasets for plant stress identification.•To employ machine learning for plant stress identification.•To introduce deep learning for plant…”
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Endoscopic prediction of submucosal invasion in Barrett's cancer with the use of artificial intelligence: a pilot study by Ebigbo, Alanna, Mendel, Robert, Rückert, Tobias, Schuster, Laurin, Probst, Andreas, Manzeneder, Johannes, Prinz, Friederike, Mende, Matthias, Steinbrück, Ingo, Faiss, Siegbert, Rauber, David, de Souza, Jr, Luis A, Papa, João P, Deprez, Pierre H, Oyama, Tsuneo, Takahashi, Akiko, Seewald, Stefan, Sharma, Prateek, Byrne, Michael F, Palm, Christoph, Messmann, Helmut

“…The accurate differentiation between T1a and T1b Barrett's-related cancer has both therapeutic and prognostic implications but is challenging even for…”
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Editorial of the special section on CIARP 2021 by Papa, João Paulo, Tavares, João Manuel R.S.

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Optimum-Path Forest based on k-connectivity: Theory and applications by Papa, João Paulo, Fernandes, Silas Evandro Nachif, Falcão, Alexandre Xavier

“…•A deeper theoretical background about the Optimum-Path Forest (OPF) classifier with k-neighborhood (OPFk) is presented.•A new, faster and less prone to error…”
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Nature-Inspired Framework for Hyperspectral Band Selection by Nakamura, Rodrigo Y. M., Fonseca, Leila Maria Garcia, Santos, Jefersson Alex dos, Torres, Ricardo da S., Yang, Xin-She, Papa, Joao Papa

“…Although hyperspectral images acquired by on-board satellites provide information from a wide range of wavelengths in the spectrum, the obtained information is…”
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Semi-supervised learning with convolutional neural networks for UAV images automatic recognition by Amorim, Willian Paraguassu, Tetila, Everton Castelão, Pistori, Hemerson, Papa, João Paulo

“…•A new application for the semi-supervised with Convolutional Neural Networks.•New highlights in how to improve deep networks using semi-supervised…”
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Reinforcing learning in Deep Belief Networks through nature-inspired optimization by Roder, Mateus, Passos, Leandro Aparecido, de Rosa, Gustavo H., de Albuquerque, Victor Hugo C., Papa, João Paulo

“…Deep learning techniques usually face drawbacks related to the vanishing gradient problem, i.e., the gradient becomes gradually weaker when propagating from…”
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